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dc.contributor.author Estève, Louis Clément
dc.contributor.author Savary, Agata
dc.contributor.author Lavergne, Thomas
dc.date.accessioned 2024-07-12T11:53:50Z
dc.date.available 2024-07-12T11:53:50Z
dc.date.issued 2024-06-07
dc.identifier.uri http://hdl.handle.net/11234/1-5528
dc.description This resource is a set of 14 vector spaces for single words and Verbal Multiword Expressions (VMWEs) in different languages (German, Greek, Basque, French, Irish, Hebrew, Hindi, Italian, Polish, Brazilian Portuguese, Romanian, Swedish, Turkish, Chinese). They were trained with the Word2Vec algorithm, in its skip-gram version, on PARSEME raw corpora automatically annotated for morpho-syntax (http://hdl.handle.net/11234/1-3367). These corpora were annotated by Seen2Seen, a rule-based VMWE identifier, one of the leading tools of the PARSEME shared task version 1.2. VMWE tokens were merged into single tokens. The format of the vector space files is that of the original Word2Vec implementation by Mikolov et al. (2013), i.e. a binary format. For compression, bzip2 was used.
dc.language.iso deu
dc.language.iso ell
dc.language.iso eus
dc.language.iso fra
dc.language.iso gle
dc.language.iso heb
dc.language.iso hin
dc.language.iso ita
dc.language.iso pol
dc.language.iso por
dc.language.iso ron
dc.language.iso swe
dc.language.iso tur
dc.language.iso zho
dc.publisher Université Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique
dc.rights PARSEME Shared Task Raw Corpus Data (v. 1.2) Agreement
dc.rights.uri https://lindat.mff.cuni.cz/repository/xmlui/page/licence-mwe-1.2-raw
dc.source.uri https://gitlab.com/parseme/corpora
dc.subject verbal multiword expressions
dc.subject word embeddings
dc.subject word2vec
dc.title Multilingual static embeddings for Verbal Multiword Expressions trained on PARSEME raw corpora
dc.type lexicalConceptualResource
metashare.ResourceInfo#ContentInfo.mediaType text
metashare.ResourceInfo#ContentInfo.detailedType computationalLexicon
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
contact.person Louis Estève louis.esteve@universite-paris-saclay.fr Université Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique
sponsor Université Paris Saclay Plan blanc PhD grant nationalFunds
size.info 44412316 entries
size.info 17267 multiWordUnits
files.size 16752281832
files.count 22


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